Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection Dec 17, 2019 Community Detection Graph Embedding
Code Code Available Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more Dec 17, 2019 Stochastic Optimization
Code Code Available Complexity of Stochastic Dual Dynamic Programming Dec 16, 2019 Decision Making Reinforcement Learning
— Unverified From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions Dec 7, 2019 reinforcement-learning Reinforcement Learning
— Unverified Lower Bounds for Non-Convex Stochastic Optimization Dec 5, 2019 Stochastic Optimization
— Unverified Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression Dec 5, 2019 regression Stochastic Optimization
— Unverified Domain-independent Dominance of Adaptive Methods Dec 4, 2019 image-classification Image Classification
Code Code Available Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization Dec 2, 2019 Stochastic Optimization
— Unverified A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers Dec 1, 2019 Stochastic Optimization
— Unverified Thinning for Accelerating the Learning of Point Processes Dec 1, 2019 Point Processes Stochastic Optimization
— Unverified Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent Dec 1, 2019 Management Reinforcement Learning
— Unverified Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences Dec 1, 2019 reinforcement-learning Reinforcement Learning
— Unverified Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging Dec 1, 2019 Stochastic Optimization
— Unverified Online Structured Sparsity-based Moving Object Detection from Satellite Videos Nov 29, 2019 Moving Object Detection object-detection
— Unverified Learning Neural Search Policies for Classical Planning Nov 27, 2019 Stochastic Optimization
— Unverified A Sub-sampled Tensor Method for Non-convex Optimization Nov 23, 2019 Stochastic Optimization
— Unverified Parameter-Free Locally Differentially Private Stochastic Subgradient Descent Nov 21, 2019 Stochastic Optimization
— Unverified Gamifying the Vehicle Routing Problem with Stochastic Requests Nov 14, 2019 Atari Games Decision Making
— Unverified Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression Nov 10, 2019 Multi-Task Learning Stochastic Optimization
— Unverified Community Detection for Power Systems Network Aggregation Considering Renewable Variability Nov 8, 2019 Community Detection Stochastic Optimization
— Unverified Continual Multi-task Gaussian Processes Oct 31, 2019 Bayesian Inference Continual Learning
Code Code Available SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization Oct 31, 2019 Quantization Stochastic Optimization
— Unverified Mixing of Stochastic Accelerated Gradient Descent Oct 31, 2019 Stochastic Optimization
— Unverified Understanding the Role of Momentum in Stochastic Gradient Methods Oct 30, 2019 Stochastic Optimization
Code Code Available Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization Oct 30, 2019 Stochastic Optimization
— Unverified Proactive Optimization with Machine Learning: Femto-caching with Future Content Popularity Oct 29, 2019 BIG-bench Machine Learning Stochastic Optimization
— Unverified Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization Oct 29, 2019 reinforcement-learning Reinforcement Learning
— Unverified An Adaptive and Momental Bound Method for Stochastic Learning Oct 27, 2019 Stochastic Optimization
Code Code Available Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Oct 27, 2019 Bayesian Optimization Hyperparameter Optimization
Code Code Available Katyusha Acceleration for Convex Finite-Sum Compositional Optimization Oct 24, 2019 Stochastic Optimization
— Unverified Gradient Sparification for Asynchronous Distributed Training Oct 24, 2019 Federated Learning Stochastic Optimization
— Unverified The Practicality of Stochastic Optimization in Imaging Inverse Problems Oct 22, 2019 Deblurring Image Deblurring
— Unverified Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks Oct 19, 2019 Stochastic Optimization
— Unverified Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic Oct 18, 2019 Diagnostic Stochastic Optimization
— Unverified Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach Oct 13, 2019 Stochastic Optimization
— Unverified Projection-free nonconvex stochastic optimization on Riemannian manifolds Oct 9, 2019 Stochastic Optimization
— Unverified Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG Oct 8, 2019 Stochastic Optimization
— Unverified FIS-GAN: GAN with Flow-based Importance Sampling Oct 6, 2019 Density Estimation Stochastic Optimization
— Unverified Tightening Bounds for Variational Inference by Revisiting Perturbation Theory Sep 30, 2019 Gaussian Processes Stochastic Optimization
— Unverified Model Predictive Control-Based Battery Scheduling and Incentives to Manipulate Demand Response Baselines Sep 26, 2019 Model Predictive Control Scheduling
— Unverified A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed Sep 25, 2019 Computational Efficiency regression
— Unverified α^α-Rank: Practically Scaling α-Rank through Stochastic Optimisation Sep 25, 2019 Stochastic Optimization
— Unverified Statistical Adaptive Stochastic Optimization Sep 25, 2019 Scheduling Stochastic Optimization
— Unverified Accelerating First-Order Optimization Algorithms Sep 25, 2019 Stochastic Optimization
— Unverified Learning to Anneal and Prune Proximity Graphs for Similarity Search Sep 25, 2019 Stochastic Optimization
— Unverified Localizing and Amortizing: Efficient Inference for Gaussian Processes Sep 25, 2019 Gaussian Processes Stochastic Optimization
— Unverified Geometry, Computation, and Optimality in Stochastic Optimization Sep 23, 2019 Stochastic Optimization
— Unverified Using Statistics to Automate Stochastic Optimization Sep 21, 2019 Stochastic Optimization
— Unverified Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Sep 18, 2019 reinforcement-learning Reinforcement Learning
— Unverified Communication-Censored Distributed Stochastic Gradient Descent Sep 9, 2019 Quantization Stochastic Optimization
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